GHSA-CVG5-H6Q6-299W
Vulnerability from github – Published: 2026-07-11 06:31 – Updated: 2026-07-11 06:31
VLAI
Details
The AI Chatbot & Workflow Automation by AIWU plugin for WordPress is vulnerable to Missing Authorization in all versions up to, and including, 1.4.12. This is due to missing capability checks and nonce verification on AJAX actions registered under both wp_ajax_ and wp_ajax_nopriv_ hooks, as the base controller's getPermissions() returns an empty array and neither removeGroup nor clear are added to getNoncedMethods(), causing the authorization gate to unconditionally return true for these actions. This makes it possible for unauthenticated attackers to delete specific records by ID or delete all records from any module's database table by unauthenticated attackers.
Severity
5.3 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-6803"
],
"database_specific": {
"cwe_ids": [
"CWE-862"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-07-11T05:16:34Z",
"severity": "MODERATE"
},
"details": "The AI Chatbot \u0026 Workflow Automation by AIWU plugin for WordPress is vulnerable to Missing Authorization in all versions up to, and including, 1.4.12. This is due to missing capability checks and nonce verification on AJAX actions registered under both wp_ajax_ and wp_ajax_nopriv_ hooks, as the base controller\u0027s getPermissions() returns an empty array and neither removeGroup nor clear are added to getNoncedMethods(), causing the authorization gate to unconditionally return true for these actions. This makes it possible for unauthenticated attackers to delete specific records by ID or delete all records from any module\u0027s database table by unauthenticated attackers.",
"id": "GHSA-cvg5-h6q6-299w",
"modified": "2026-07-11T06:31:16Z",
"published": "2026-07-11T06:31:16Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-6803"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/tags/1.4.6/classes/controller.php#L112"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/tags/1.4.6/classes/controller.php#L133"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/tags/1.4.6/classes/controller.php#L142"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/tags/1.4.6/classes/frame.php#L283"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/tags/1.4.6/classes/model.php#L173"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/trunk/classes/controller.php#L112"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/trunk/classes/controller.php#L133"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/trunk/classes/controller.php#L142"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/trunk/classes/frame.php#L283"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/ai-copilot-content-generator/trunk/classes/model.php#L173"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3582369%40ai-copilot-content-generator\u0026new=3582369%40ai-copilot-content-generator"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/080740e3-ca04-48b4-8b34-64f5e42b1185?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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